Publication

Brain-Actuated Interaction

Publications associées (36)

The present and future of neural interfaces

The 2020's decade will likely witness an unprecedented development and deployment of neurotechnologies for human rehabilitation, personalized use, and cognitive or other enhancement. New materials and algorithms are already enabling active brain monitoring ...

FRONTIERS MEDIA SA2022

Mind blanking is a distinct mental state linked to a recurrent brain profile of globally positive connectivity during ongoing mentation

Dimitri Nestor Alice Van De Ville, Sepehr Mortaheb

Mind blanking (MB) is a waking state during which we do not report any mental con-tent. The phenomenology of MB challenges the view of a constantly thinking mind. Here, we comprehensively characterize the MB's neurobehavioral profile with the aim to deline ...

NATL ACAD SCIENCES2022

The Role of the Control Framework for Continuous Teleoperation of a Brain-Machine Interface-Driven Mobile Robot

José del Rocio Millán Ruiz, Luca Tonin, Felix Christian Bauer

Despite the growing interest in brain-machine interface (BMI)-driven neuroprostheses, the translation of the BMI output into a suitable control signal for the robotic device is often neglected. In this article, we propose a novel control approach based on ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

The Human-Computer Connection An Overview Of Brain-Computer Interfaces

José del Rocio Millán Ruiz

This article introduces the field of brain-computer interfaces (BCI), which allows the control of devices without the generation of any active motor output but directly from the decoding of the user's brain signals. Here we review the current state of the ...

UNIV VALENCIA, BOTANICAL GARDEN UV2019

Brain-Computer Interface meets ROS: A robotic approach to mentally drive telepresence robots

Luca Tonin, Andrea Cimolato

This paper shows and evaluates a novel approach to integrate a non-invasive Brain-Computer Interface (BCI) with the Robot Operating System (ROS) to mentally drive a telepresence robot. Controlling a mobile device by using human brain signals might improve ...

IEEE COMPUTER SOC2018

A Brain-Controlled Exoskeleton with Cascaded Event-Related Desynchronization Classifiers

José del Rocio Millán Ruiz, Kyuhwa Lee, Ricardo Andres Chavarriaga Lozano, Dong Liu

This paper describes a brain-machine interface for the online control of a powered lower-limb exoskeleton based on electroencephalogram (EEG) signals recorded over the user’s sensorimotor cortical areas. We train a binary decoder that can distinguish two d ...

Elsevier2017

Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform

Daniel Peppicelli, Marc-Oliver Gewaltig, Luc Guyot, Egidio Falotico, Lorenzo Vannucci, Axel von Arnim, Paul Levi, Georg Hinkel, Stefan Ulbrich, Eduardo Ros, Alessandro Ambrosano, Nino Cauli, Patrick Van Der Smagt, Oliver Denninger, Ugo Albanese, Murat Kirtay, Stefan Deser, Sandro Weber, Patrick Maier, Igor Peric

Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biologically realistic models of the brain based on spiking neural networks. For a proper validation of these models, an embodiment in a dynamic and rich sensor ...

2017

A multimodal framework for the design and the assessment of robotic-assisted treatments for motor disorders

Elvira Pirondini

Robotic devices represent an undeniable alternative method to traditional therapy. However, the clinical use of robot-assisted rehabilitation for patients with hemiplegia after stroke has been restricted for decades by i) limited functional characterisatio ...

EPFL2017

EXiO-A Brain-Controlled Lower Limb Exoskeleton for Rhesus Macaques

Hannes Bleuler, Mohamed Bouri, Jeremy Olivier, Miguel Nicolelis, Tristan Hubert Vouga

Recent advances in the field of brain-machine interfaces (BMIs) have demonstrated enormous potential to shape the future of rehabilitation and prosthetic devices. Here, a lower-limb exoskeleton controlled by the intracortical activity of an awake behaving ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Learning-Based Near-Optimal Area-Power Trade-offs in Hardware Design for Neural Signal Acquisition

Volkan Cevher, Mahsa Shoaran, Cosimo Aprile, Yusuf Leblebici, Luca Baldassarre, Vipul Gupta

Wireless implantable devices capable of monitoring the electrical activity of the brain are becoming an important tool for understanding and potentially treating mental diseases such as epilepsy and depression. While such devices exist, it is still necessa ...

Ieee2016

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